Probabilistic action selection in pursuit algorithm
If I am understanding your question properly, you could use something like the following: 

import numpy as np 
p1 = 0.1
if np.random.rand() &lt; p1: 
    action = 'greedy'
else: 
    action = np.random.choice(['other_policy1', 'other_policy2', 'other_policy3']) 

return action